{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [直方图, 分桶和密度](04.05-Histograms-and-Binnings.ipynb) | [目录](Index.ipynb) | [自定义颜色条](04.07-Customizing-Colorbars.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/wangyingsm/Python-Data-Science-Handbook/blob/master/notebooks/04.06-Customizing-Legends.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Customizing Plot Legends\n",
    "\n",
    "# 自定义图标图例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Plot legends give meaning to a visualization, assigning meaning to the various plot elements.\n",
    "We previously saw how to create a simple legend; here we'll take a look at customizing the placement and aesthetics of the legend in Matplotlib.\n",
    "\n",
    "图例可以为可视化赋予实际含义，为不同的图标元素附上明确说明。我们前面看到了一些简单的图例创建例子；本小节中我们来介绍一下在Matplotlib中自定义图例的位置和进行美化的方法。\n",
    "\n",
    "> The simplest legend can be created with the ``plt.legend()`` command, which automatically creates a legend for any labeled plot elements:\n",
    "\n",
    "可以使用`plt.legend()`函数来创建最简单的图例，这个函数能自动创建任何带有标签属性的图表元素的图例："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('classic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0, 10, 1000)\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(x, np.sin(x), '-b', label='Sine')\n",
    "ax.plot(x, np.cos(x), '--r', label='Cosine')\n",
    "ax.axis('equal')\n",
    "leg = ax.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> But there are many ways we might want to customize such a legend.\n",
    "For example, we can specify the location and turn off the frame:\n",
    "\n",
    "但除此之外还有很多能自定义图例的方法。例如，我们可以指定图例位置并且去除边框："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.legend(loc='upper left', frameon=False)\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can use the ``ncol`` command to specify the number of columns in the legend:\n",
    "\n",
    "我们可以使用`ncol`属性设置图例中每行的列数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.legend(frameon=False, loc='lower center', ncol=2)\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can use a rounded box (``fancybox``) or add a shadow, change the transparency (alpha value) of the frame, or change the padding around the text:\n",
    "\n",
    "还可以使用圆角方框（`fancybox`）或者增加阴影，设置方框的透明度（alpha值）或修改文字的边距："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.legend(fancybox=True, framealpha=1, shadow=True, borderpad=1)\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> For more information on available legend options, see the ``plt.legend`` docstring.\n",
    "\n",
    "要获取更多legend函数的可用选项信息，请参考`plt.legend`的文档字符串。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Choosing Elements for the Legend\n",
    "\n",
    "## 选择设置图例的元素\n",
    "\n",
    "> As we have already seen, the legend includes all labeled elements by default.\n",
    "If this is not what is desired, we can fine-tune which elements and labels appear in the legend by using the objects returned by plot commands.\n",
    "The ``plt.plot()`` command is able to create multiple lines at once, and returns a list of created line instances.\n",
    "Passing any of these to ``plt.legend()`` will tell it which to identify, along with the labels we'd like to specify:\n",
    "\n",
    "正如我们前面例子所示，绘制的图例默认包括所有带标签的元素。如果这不是想要的效果，我们可以调整哪些元素和标签会出现在图例当中，这可以通过设置plot函数或方法返回的对象实现。`plt.plot`函数能够同时产生多条折线，然后将这些线条的实例列表返回。将其中的部分实例传递到`plt.legend()`函数就能设置哪些线条会出现在图例中，再通过一个标签的列表指定图例的名称："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y = np.sin(x[:, np.newaxis] + np.pi * np.arange(0, 2, 0.5))\n",
    "lines = plt.plot(x, y)\n",
    "\n",
    "# lines是一个线条实例的列表\n",
    "plt.legend(lines[:2], ['first', 'second']);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> I generally find in practice that it is clearer to use the first method, applying labels to the plot elements you'd like to show on the legend:\n",
    "\n",
    "作者更加倾向于使用第一种方式，因为更加清晰。通过将标签应用在图表元素上，然后绘制到图例中："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y[:, 0], label='first')\n",
    "plt.plot(x, y[:, 1], label='second')\n",
    "plt.plot(x, y[:, 2:])\n",
    "plt.legend(framealpha=1, frameon=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Notice that by default, the legend ignores all elements without a ``label`` attribute set.\n",
    "\n",
    "请注意默认情况下，legend会忽略所有不带标签的元素。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Legend for Size of Points\n",
    "\n",
    "## 散点大小的图例\n",
    "\n",
    "> Sometimes the legend defaults are not sufficient for the given visualization.\n",
    "For example, perhaps you're be using the size of points to mark certain features of the data, and want to create a legend reflecting this.\n",
    "Here is an example where we'll use the size of points to indicate populations of California cities.\n",
    "We'd like a legend that specifies the scale of the sizes of the points, and we'll accomplish this by plotting some labeled data with no entries:\n",
    "\n",
    "某些情况下默认的图例不足以满足特定的可视化需求。例如，你在使用散点的大小来标记数据的某个特征，然后希望创建一个相应的图例。下面的例子是加州城市人口的散点图，我们使用散点的大小表现该城市的面积，散点的颜色来表现城市的人口数量（自然对数值）。我们希望使用一个图例来指明散点尺寸的比例，同时用一个颜色条来说明人口数量，我们可以通过自定义绘制一些标签数据来实现尺寸图例：\n",
    "\n",
    "译者注：新版Matplotlib已经取消aspect参数，此处改为使用新的`'scaled'`参数调用axis函数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "cities = pd.read_csv('data/california_cities.csv')\n",
    "\n",
    "# 提取我们感兴趣的数据\n",
    "lat, lon = cities['latd'], cities['longd']\n",
    "population, area = cities['population_total'], cities['area_total_km2']\n",
    "\n",
    "# 绘制散点图，使用尺寸代表面积，颜色代表人口，不带标签\n",
    "plt.scatter(lon, lat, label=None,\n",
    "            c=np.log10(population), cmap='viridis',\n",
    "            s=area, linewidth=0, alpha=0.5)\n",
    "plt.axis('scaled')\n",
    "plt.xlabel('longitude')\n",
    "plt.ylabel('latitude')\n",
    "plt.colorbar(label='log$_{10}$(population)')\n",
    "plt.clim(3, 7)\n",
    "\n",
    "# 下面我们创建图例：\n",
    "# 使用空列表绘制图例中的散点，使用不同面积和标签，带透明度\n",
    "for area in [100, 300, 500]:\n",
    "    plt.scatter([], [], c='k', alpha=0.3, s=area,\n",
    "                label=str(area) + ' km$^2$')\n",
    "plt.legend(scatterpoints=1, frameon=False, labelspacing=1, title='City Area')\n",
    "\n",
    "plt.title('California Cities: Area and Population');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The legend will always reference some object that is on the plot, so if we'd like to display a particular shape we need to plot it.\n",
    "In this case, the objects we want (gray circles) are not on the plot, so we fake them by plotting empty lists.\n",
    "Notice too that the legend only lists plot elements that have a label specified.\n",
    "\n",
    "之前的图例都关联着图表上的一些对象，因此如果我们需要展示图例的话我们首先需要绘制图表元素。在上例中，我们需要的图例对象（灰色圆圈）不在图表上，因此我们采用绘制空列表的方式将它们仿造在图表上（实际上图上没有点），但是还是需要注意，只有那些带标签的元素才会出现在图例中。\n",
    "\n",
    "> By plotting empty lists, we create labeled plot objects which are picked up by the legend, and now our legend tells us some useful information.\n",
    "This strategy can be useful for creating more sophisticated visualizations.\n",
    "\n",
    "通过绘制空列表，我们创建了三个带标签的对象，然后就可以出现在图例当中，这个图例就能表示出有关城市面积的相关信息。这个策略在很多复杂可视化图表构建过程中都被用到。\n",
    "\n",
    "> Finally, note that for geographic data like this, it would be clearer if we could show state boundaries or other map-specific elements.\n",
    "For this, an excellent choice of tool is Matplotlib's Basemap addon toolkit, which we'll explore in [Geographic Data with Basemap](04.13-Geographic-Data-With-Basemap.ipynb).\n",
    "\n",
    "最后我们注意到这个图表实际上是一个地理位置图表，如果我们能在上面绘制州界线或其他地图相关的元素的话，会更加清晰。Matplotlib提供了一个Basemap额外工具集来实现这个目标，我们会在[使用Basemap创建地理位置图表](04.13-Geographic-Data-With-Basemap.ipynb)中学习到它。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multiple Legends\n",
    "\n",
    "## 多重图例\n",
    "\n",
    "> Sometimes when designing a plot you'd like to add multiple legends to the same axes.\n",
    "Unfortunately, Matplotlib does not make this easy: via the standard ``legend`` interface, it is only possible to create a single legend for the entire plot.\n",
    "If you try to create a second legend using ``plt.legend()`` or ``ax.legend()``, it will simply override the first one.\n",
    "We can work around this by creating a new legend artist from scratch, and then using the lower-level ``ax.add_artist()`` method to manually add the second artist to the plot:\n",
    "\n",
    "有时候我们可能需要在同一个图表维度中设计多个图例。不幸的是，Matplotlib并没有提供很简单的方式实现：通过标准的`legend`接口，只能在整张图表上创建一个图例。如果你试图使用`plt.legend()`或`ax.legend()`创建第二个图例，那么第二条语句创建的图例会覆盖第一条语句创建的。我们只能通过从底层开始来创建一个新的图例artist这种方法来解决这个问题，然后使用`ax.add_artist()`的底层方法手动将第二个作者加到图表上："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "lines = []\n",
    "styles = ['-', '--', '-.', ':']\n",
    "x = np.linspace(0, 10, 1000)\n",
    "\n",
    "for i in range(4):\n",
    "    lines += ax.plot(x, np.sin(x - i * np.pi / 2),\n",
    "                     styles[i], color='black')\n",
    "ax.axis('equal')\n",
    "\n",
    "# 指定第一个图例的线条和标签\n",
    "ax.legend(lines[:2], ['line A', 'line B'],\n",
    "          loc='upper right', frameon=False)\n",
    "\n",
    "# 手动创建第二个图例，并将作者添加到图表中\n",
    "from matplotlib.legend import Legend\n",
    "leg = Legend(ax, lines[2:], ['line C', 'line D'],\n",
    "             loc='lower right', frameon=False)\n",
    "ax.add_artist(leg);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> This is a peek into the low-level artist objects that comprise any Matplotlib plot.\n",
    "If you examine the source code of ``ax.legend()`` (recall that you can do this with within the IPython notebook using ``ax.legend??``) you'll see that the function simply consists of some logic to create a suitable ``Legend`` artist, which is then saved in the ``legend_`` attribute and added to the figure when the plot is drawn.\n",
    "\n",
    "上例展示了用来组成任何Matplotlib图表的底层artist对象的简单说明。如果你去查看`ax.legend()`的源代码（你可以通过IPython的`ax.legend??`帮助工具做到），你可以看到这个方法包含了用来构建合适`Legend`的artist对象的逻辑，构建的对象被保存在`legend_`属性当中，当绘制时被添加到图表上进行展示。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [直方图, 分桶和密度](04.05-Histograms-and-Binnings.ipynb) | [目录](Index.ipynb) | [自定义颜色条](04.07-Customizing-Colorbars.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/wangyingsm/Python-Data-Science-Handbook/blob/master/notebooks/04.06-Customizing-Legends.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
